건설 분야 AI 시장 - 규모, 점유율, 성장률, 산업 분석 : 유형별, 용도별, 지역별 인사이트 및 예측(2026-2034년)

Growth Factors of AI in construction Market

The global AI in construction market is rapidly transforming the construction industry through the adoption of advanced technologies, including machine learning, computer vision, natural language processing, and generative AI. According to recent market research, the market was valued at USD 4.86 billion in 2025 and is projected to grow to USD 6.02 billion in 2026, ultimately reaching USD 35.53 billion by 2034, exhibiting a robust CAGR of 24.80% during the forecast period. The market's growth is fueled by the increasing need for efficiency, cost reduction, safety, and sustainability in construction projects.

Market Overview

AI in construction focuses on the deployment of AI-driven solutions to optimize project management, risk management, scheduling, supply chain management, quality control, and safety monitoring. These technologies enable construction firms to automate repetitive tasks, make data-driven decisions, and reduce project delays. The COVID-19 pandemic further accelerated AI adoption, as companies sought remote monitoring solutions, predictive maintenance, and autonomous machinery to maintain productivity while adhering to social distancing guidelines.

Impact of Generative AI

A notable driver of innovation in this sector is generative AI, which enhances creativity, efficiency, and simulation capabilities in architectural and construction processes. By generating multiple design options based on input parameters, generative AI reduces design phase costs and time. It also supports optimized construction schedules, resource allocation, and logistics strategies, facilitating better decision-making and risk management. Industry experts highlight that the global AI software market is expected to grow from USD 64 billion in 2022 to USD 251 billion by 2027, while generative AI platforms are estimated to generate USD 55.7 billion by 2027.

Market Trends

The AI in construction market is witnessing significant trends, particularly in predictive analytics and risk management. Advanced AI algorithms analyze project schedules, budgets, material usage, and performance metrics to forecast potential risks, delays, and cost overruns. Predictive analytics also improve resource allocation, project planning, and scheduling accuracy. Research by Autodesk and Deloitte indicates that enhanced data utilization significantly improves on-site safety, with 24% of businesses acknowledging this benefit.

Market Growth Factors

A primary factor driving growth is the constant demand for improved efficiency and productivity. Construction projects are inherently complex, involving multiple stakeholders, tight schedules, and budget constraints. AI-powered solutions automate tasks, analyze data in real time, and enhance decision-making, helping construction companies execute projects more efficiently. Industry experts estimate that AI could automate up to 49% of construction tasks, highlighting its potential impact on the sector.

Restraining Factors

Despite strong growth potential, the industry faces challenges, including data privacy, security concerns, high implementation costs, and slow technology adoption. Fragmented and unstandardized data also complicates AI integration. The construction sector's traditional nature often limits rapid deployment of advanced solutions, slowing market penetration.

Market Segmentation

By Solution: The market includes project management, risk management, schedule management, and supply chain management. Project management solutions dominate with a 33.06% share in 2026, while risk management is expected to grow fastest due to its predictive capabilities.

By Deployment: Cloud-based solutions hold a 66.78% share in 2026, favored for flexibility, scalability, and collaboration. On-premises deployment has a smaller share due to high upfront costs and limited scalability.

By Construction Stage: The construction stage accounts for 43.19% in 2026, as AI is most applied here to improve scheduling, resource allocation, and quality control. Pre-construction is projected to grow fastest, enabling accurate estimation and risk assessment.

By Construction Type: The commercial construction segment dominates with 34.05% in 2026, driven by large-scale, high-stakes projects. Residential construction is growing fastest due to urbanization and housing demand.

Regional Insights

North America dominates the market with a 39.10% share in 2025, valued at USD 1.9 billion, driven by advanced infrastructure, innovation, and government initiatives. Europe holds the second-largest share, with Germany projected at USD 0.37 billion in 2026 and the UK at USD 0.3 billion, emphasizing sustainability and efficiency. Asia Pacific is expected to record the highest CAGR due to urbanization, infrastructure growth, and digital transformation initiatives, with China at USD 0.41 billion, Japan at USD 0.34 billion, and India at USD 0.29 billion by 2026. Middle East & Africa and South America hold smaller shares due to limited adoption and smaller construction industries.

Key Industry Players and Developments

Major players include Autodesk, SAP SE, Bentley Systems, ALICE Technologies, Dassault Systemes, Oracle, Trimble, Komatsu, Procore Technologies, and Doxel. Notable developments include:

• April 2024: SAP SE enhanced AI-powered supply chain solutions.
• November 2023: Autodesk launched Autodesk AI for design and productivity optimization.
• November 2023: Trimble integrated Azure AI Document Intelligence for automated invoicing.
• September 2023: Versatile partnered with Procore Technologies to automate construction data collection.

Conclusion

The AI in construction market is set for rapid expansion from USD 4.86 billion in 2025 to USD 35.53 billion by 2034, driven by efficiency, cost reduction, safety, and innovation. Adoption of generative AI, predictive analytics, and cloud-based solutions are reshaping project management, design, and construction execution. While challenges such as high costs and data privacy remain, the integration of AI technologies is poised to revolutionize the construction industry, offering more sustainable, productive, and high-quality project outcomes worldwide.

Segmentation By Solution

• Project Management
• Risk Management
• Schedule Management
• Supply Chain Management
• Others (Quality Management, Safety Management)

By Deployment

• Cloud
• On-premises

By Construction Stage

• Pre-construction
• Construction
• Post-construction

By Construction Type

• Residential
• Industrial
• Commercial
• Infrastructure

By Region

• North America (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • U.S.
  • Canada
  • Mexico
• South America (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • Brazil
  • Argentina
  • Rest of South America
• Europe (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • U.K.
  • Germany
  • France
  • Italy
  • Spain
  • Russia
  • Benelux
  • Nordics
  • Rest of Europe
• Middle East & Africa (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • Turkey
  • Israel
  • GCC
  • North Africa
  • South Africa
  • Rest of the Middle East & Africa
• Asia Pacific (By Solution, Deployment, Construction Stage, Construction Type, and Country)
  • China
  • Japan
  • India
  • South Korea
  • ASEAN
  • Oceania
  • Rest of Asia Pacific

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends
• 3.3. Impact of Generative AI

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global AI in Construction Key Players Market Share/Ranking, 2025

5. Global AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Solution (USD)
  • 5.2.1. Project Management
  • 5.2.2. Risk Management
  • 5.2.3. Schedule Management
  • 5.2.4. Supply Chain Management
  • 5.2.5. Others (Quality Management, Safety Management, etc.)
• 5.3. By Deployment (USD)
  • 5.3.1. Cloud
  • 5.3.2. On-premise
• 5.4. By Construction Stage (USD)
  • 5.4.1. Pre-construction
  • 5.4.2. Construction
  • 5.4.3. Post-construction
• 5.5. By Construction Type (USD)
  • 5.5.1. Residential
  • 5.5.2. Industrial
  • 5.5.3. Commercial
  • 5.5.4. Infrastructure
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. South America
  • 5.6.3. Europe
  • 5.6.4. Middle East and Africa
  • 5.6.5. Asia Pacific

6. North America AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Solution (USD)
  • 6.2.1. Project Management
  • 6.2.2. Risk Management
  • 6.2.3. Schedule Management
  • 6.2.4. Supply Chain Management
  • 6.2.5. Others (Quality Management, Safety Management, etc.)
• 6.3. By Deployment (USD)
  • 6.3.1. Cloud
  • 6.3.2. On-premise
• 6.4. By Construction Stage (USD)
  • 6.4.1. Pre-construction
  • 6.4.2. Construction
  • 6.4.3. Post-construction
• 6.5. By Construction Type (USD)
  • 6.5.1. Residential
  • 6.5.2. Industrial
  • 6.5.3. Commercial
  • 6.5.4. Infrastructure
• 6.6. By Country (USD)
  • 6.6.1. United States
  • 6.6.2. Canada
  • 6.6.3. Mexico

7. South America AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Solution (USD)
  • 7.2.1. Project Management
  • 7.2.2. Risk Management
  • 7.2.3. Schedule Management
  • 7.2.4. Supply Chain Management
  • 7.2.5. Others (Quality Management, Safety Management, etc.)
• 7.3. By Deployment (USD)
  • 7.3.1. Cloud
  • 7.3.2. On-premise
• 7.4. By Construction Stage (USD)
  • 7.4.1. Pre-construction
  • 7.4.2. Construction
  • 7.4.3. Post-construction
• 7.5. By Construction Type (USD)
  • 7.5.1. Residential
  • 7.5.2. Industrial
  • 7.5.3. Commercial
  • 7.5.4. Infrastructure
• 7.6. By Country (USD)
  • 7.6.1. Brazil
  • 7.6.2. Argentina
  • 7.6.3. Rest of South America

8. Europe AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Solution (USD)
  • 8.2.1. Project Management
  • 8.2.2. Risk Management
  • 8.2.3. Schedule Management
  • 8.2.4. Supply Chain Management
  • 8.2.5. Others (Quality Management, Safety Management, etc.)
• 8.3. By Deployment (USD)
  • 8.3.1. Cloud
  • 8.3.2. On-premise
• 8.4. By Construction Stage (USD)
  • 8.4.1. Pre-construction
  • 8.4.2. Construction
  • 8.4.3. Post-construction
• 8.5. By Construction Type (USD)
  • 8.5.1. Residential
  • 8.5.2. Industrial
  • 8.5.3. Commercial
  • 8.5.4. Infrastructure
• 8.6. By Country (USD)
  • 8.6.1. United Kingdom
  • 8.6.2. Germany
  • 8.6.3. France
  • 8.6.4. Italy
  • 8.6.5. Spain
  • 8.6.6. Russia
  • 8.6.7. Benelux
  • 8.6.8. Nordics
  • 8.6.9. Rest of Europe

9. Middle East and Africa AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Solution (USD)
  • 9.2.1. Project Management
  • 9.2.2. Risk Management
  • 9.2.3. Schedule Management
  • 9.2.4. Supply Chain Management
  • 9.2.5. Others (Quality Management, Safety Management, etc.)
• 9.3. By Deployment (USD)
  • 9.3.1. Cloud
  • 9.3.2. On-premise
• 9.4. By Construction Stage (USD)
  • 9.4.1. Pre-construction
  • 9.4.2. Construction
  • 9.4.3. Post-construction
• 9.5. By Construction Type (USD)
  • 9.5.1. Residential
  • 9.5.2. Industrial
  • 9.5.3. Commercial
  • 9.5.4. Infrastructure
• 9.6. By Country (USD)
  • 9.6.1. Turkey
  • 9.6.2. Israel
  • 9.6.3. GCC
  • 9.6.4. North Africa
  • 9.6.5. South Africa
  • 9.6.6. Rest of Middle East and Africa

10. Asia Pacific AI in Construction Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Solution (USD)
  • 10.2.1. Project Management
  • 10.2.2. Risk Management
  • 10.2.3. Schedule Management
  • 10.2.4. Supply Chain Management
  • 10.2.5. Others (Quality Management, Safety Management, etc.)
• 10.3. By Deployment (USD)
  • 10.3.1. Cloud
  • 10.3.2. On-premise
• 10.4. By Construction Stage (USD)
  • 10.4.1. Pre-construction
  • 10.4.2. Construction
  • 10.4.3. Post-construction
• 10.5. By Construction Type (USD)
  • 10.5.1. Residential
  • 10.5.2. Industrial
  • 10.5.3. Commercial
  • 10.5.4. Infrastructure
• 10.6. By Country (USD)
  • 10.6.1. China
  • 10.6.2. Japan
  • 10.6.3. India
  • 10.6.4. South Korea
  • 10.6.5. ASEAN
  • 10.6.6. Oceania
  • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. Autodesk
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. SAP SE
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. Bentley Systems
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. ALICE Technologies Inc.
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Dassault Systemes
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Oracle Corporation
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. Trimble Inc.
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. Komatsu
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Procore Technologies, Inc.
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. Doxel
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways